Wei Minn

According to our database, Wei Minn authored at least 10 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Studying SATD in drone systems with Human-AI collaboration.

Leevi Rantala, Lwin Khin Shar, Mika V. Mäntylä, Wei Minn, Yan Naing Tun

J. Syst. Softw., 2026

2025

Bamboo: LLM-Driven Discovery of API-Permission Mappings in the Android Framework.

Han Hu, Wei Minn, Yonghui Liu, Jiakun Liu, Ferdian Thung, Terry Yue Zhuo, Lwin Khin Shar, Debin Gao, David Lo

CoRR, October, 2025

Shelving it rather than Ditching it: Dynamically Debloating DEX and Native Methods of Android Applications without APK Modification.

Zicheng Zhang, Jiakun Liu, Ferdian Thung, Haoyu Ma, Rui Li, Yan Naing Tun, Wei Minn, Lwin Khin Shar, Shahar Maoz, Eran Toch, David Lo, Joshua Wong, Debin Gao

CoRR, January, 2025

Fuzzing drones for anomaly detection: A systematic literature review.

Vikas Kumar Malviya, Wei Minn, Lwin Khin Shar, Lingxiao Jiang

Comput. Secur., 2025

DynDebloater: Dynamically Debloating Unwanted Features of Android Apps without APK Modification.

Zicheng Zhang, Jiakun Liu, Ferdian Thung, Xing Hu, Wei Minn, Yan Naing Tun, Lwin Khin Shar, David Lo, Debin Gao

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

Runtime Anomaly Detection for Drones: An Integrated Rule-Mining and Unsupervised-Learning Approach.

Ivan Tan, Wei Minn, Christopher M. Poskitt, Lwin Khin Shar, Lingxiao Jiang

Proceedings of the Engineering of Complex Computer Systems - 29th International Conference, 2025

2024

DronLomaly: Runtime Log-based Anomaly Detector for DJI Drones.

Wei Minn, Yan Naing Tun, Lwin Khin Shar, Lingxiao Jiang

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

2022

DronLomaly: Runtime Detection of Anomalous Drone Behaviors via Log Analysis and Deep Learning.

Lwin Khin Shar, Wei Minn, Ta Nguyen Binh Duong, Jiani Fan, Lingxiao Jiang, Daniel Lim Wai Kiat

Proceedings of the 29th Asia-Pacific Software Engineering Conference, 2022

2020

Experimental comparison of features and classifiers for Android malware detection.

Lwin Khin Shar, Biniam Fisseha Demissie, Mariano Ceccato, Wei Minn

Proceedings of the MOBILESoft '20: IEEE/ACM 7th International Conference on Mobile Software Engineering and Systems, 2020

SmartFuzz: An Automated Smart Fuzzing Approach for Testing SmartThings Apps.

Lwin Khin Shar, Ta Nguyen Binh Duong, Lingxiao Jiang, David Lo, Wei Minn, Glenn Kiah Yong Yeo, Eugene Kim

Proceedings of the 27th Asia-Pacific Software Engineering Conference, 2020